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cs.LG2026
SEAL: Reinforcing Global Safety in Mixture-of-Experts through Shared Expert ALignment
Qingyu Meng, Yiwei Zha, Jiahuan Pei +3
Mixture-of-Experts (MoE) is a scaling architecture for large language models that activates only a small subset of expert modules per token, enabling massive parameter growth with…
cs.LG2024
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
Yuanzhe Jin, Adrian Carrasco-Revilla, Min Chen
In developing machine learning (ML) models for text classification, one common challenge is that the collected data is often not ideally distributed, especially when new classes ar…